USA Medal Exploration

The above medal time graph demonstrates the number of medals that the United States won each year that the Olympics were held. This allows us to see how the United States has performed at the Olympic stage. The graph has very sharp curves up and down which represent the medal differences between the summer and winter olympics. The USA tends to win more medals in the summer Olympics than the Winter olympics.

2016 Olympic Data Analysis

Olivia will explain this graph

Nick needs to write a caption for this

##   cluster min  Q1 median  Q3 max     mean       sd     n missing
## 1       1 136 163    167 170 179 166.0061 6.077095  9903       0
## 2       2 164 187    190 195 223 191.3349 6.662754  6679       0
## 3       3 162 176    180 183 203 179.3911 4.734164 13599       0

##   cluster min Q1 median Q3 max     mean        sd     n missing
## 1       1  28 55     59 64  90 58.79935  6.840851  9903       0
## 2       2  70 87     92 98 182 94.04844 11.061994  6679       0
## 3       3  54 70     75 79 104 74.67582  6.286214 13599       0

Links

You can include links using Markdown syntax as shown.

You should include links to relevant sites as you write. You should additionally include a list of references as the end of your blog with full citations (and relevant links).

Visualizations

Visualizations, particularly interactive ones, will be well-received. That said, do not overuse visualizations. You may be better off with one complicated but well-crafted visualization as opposed to many quick-and-dirty plots. Any plots should be well-thought-out, properly labeled, informative, and visually appealing.

If you want to include dynamic visualizations or tables, you should explore your options from packages that are built from htmlwidgets. These htmlwidgets-based packages offer ways to build lighterweight, dynamic visualizations or tables that don’t require an R server to run! A more complete list of packages is available on the linked website, but a short list includes:

• plotly: Interactive graphics with D3
• leaflet: Interactive maps with OpenStreetMap
• dygraphs: Interactive time series visualization
• visNetwork: Network graph visualization vis.js
• sparkline: Small inline charts
• threejs: Interactive 3D graphics

Tables

library(DT)
mtcars %>% 
  select(mpg, cyl, hp) %>% 
  datatable(colnames = c("MPG", "Number of cylinders", "Horsepower"),
            filter = 'top',
            options = list(pageLength = 10, autoWidth = TRUE))

library(kableExtra)
summary(cars) %>%
  kbl(col.names = c("Speed", "Distance"),
      row.names = FALSE) %>%
  kable_styling(bootstrap_options = "striped",
                full_width = FALSE) %>%
  row_spec(0, bold = TRUE) %>%
  column_spec(1:2, width = "1.5in") 

Images

Images and gifs can be displayed using code chunks:

“Safe Space” by artist Kenesha Sneed

This is a figure caption

You may also use Markdown syntax for displaying images as shown below, but code chunks offer easier customization of the image size and alignment.

This is another figure caption

Either way, the file path can be a local path within your project directory or a URL for an image hosted online. This syntax works for PNG, PDF, JPG, and even GIF formats.

Equations

You might include equations if part of the purpose of your blog is to explain a statistical method. There are two ways to include equations:

• Inline: \(b \sim N(0, \sigma^2_b)\)
• Display-style (displayed on its own line): \[\frac{\sigma^2_b}{\sigma^2_b + \sigma^2_e}\]

For typesetting equations appropriately, check out the AMS-LaTeX quick reference or take a look at the Symbols in math mode section of this cheat sheet (or do some extra Googling—there are many resources).

Column formatting

Theme

You can use the rmdformats package to play around with some pre-built themes. There are, I’m sure, many many many more similar packages with built in themes, or you can look into how to include a CSS code chunk to customize aspects of a theme.

Using the rmdformats package, you can change the theme itself (Line 6):

• rmdformats::readthedown
• rmdformats::downcute
  • For downcute only, you can add a new indented line below Line 6 with the code downcute_theme: "chaos" for the downcute chaos theme
• rmdformats::robobook
• rmdformats::material

You can explore additional YAML options by looking at the rmdformats package page or running, for example, ?rmdformats::readthedown() to see the help documentation for a particular theme from the package.

Synax highlighting

You can also change the code chunk syntax highlighting option (Line 7, highlight):

• "default"
• "tango"
• "pygments"
• "kate"
• "monochrome"
• "espresso"
• "zenburn"
• "haddock"
• "textmate"
• NULL for no syntax highlighting (not recommended)

Font size, type, and other customization

Further customization requires adding a CSS style file or code chunk or incorporating other development options. Customization beyond the rmdformats package should be your lowest and final priority for the project. Ensure your content is fully prepared first.